Reinforcement Learning for Trading Strategies
Completed by Leonid Kahanovskyi
August 28, 2020
12 hours (approximately)
Leonid Kahanovskyi's account is verified. Coursera certifies their successful completion of Reinforcement Learning for Trading Strategies
What you will learn
Understand the structure and techniques used in reinforcement learning (RL) strategies.
Understand the benefits of using RL vs. other learning methods.
Describe the steps required to develop and test an RL trading strategy.
Describe the methods used to optimize an RL trading strategy.
Skills you will gain
- Category: Markov Model
- Category: Financial Trading
- Category: Recurrent Neural Networks (RNNs)
- Category: Securities Trading
- Category: Reinforcement Learning
- Category: Model Optimization
- Category: Deep Learning
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Model Deployment
- Category: Applied Machine Learning
- Category: Model Training
- Category: Machine Learning Methods
